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Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM.
Chen, Huidong; Albergante, Luca; Hsu, Jonathan Y; Lareau, Caleb A; Lo Bosco, Giosuè; Guan, Jihong; Zhou, Shuigeng; Gorban, Alexander N; Bauer, Daniel E; Aryee, Martin J; Langenau, David M; Zinovyev, Andrei; Buenrostro, Jason D; Yuan, Guo-Cheng; Pinello, Luca.
  • Chen H; Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA.
  • Albergante L; Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
  • Hsu JY; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
  • Lareau CA; Department of Computer Science and Technology, Tongji University, 201804, Shanghai, China.
  • Lo Bosco G; Institut Curie, PSL Research University, F-75005, Paris, France.
  • Guan J; INSERM, U900, F-75005, Paris, France.
  • Zhou S; MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, F-75006, Paris, France.
  • Gorban AN; Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA.
  • Bauer DE; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Aryee MJ; Molecular Pathology Unit & Cancer Center, Massachusetts General Hospital Research Institute and Harvard Medical School, Boston, MA, 02114, USA.
  • Langenau DM; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
  • Zinovyev A; Department of Mathematics and Computer Science, University of Palermo, 90123, Palermo, Italy.
  • Buenrostro JD; Department of Sciences for technological innovation, Euro-Mediterranean Institute of Science and Technology, 90139, Palermo, Italy.
  • Yuan GC; Department of Computer Science and Technology, Tongji University, 201804, Shanghai, China.
  • Pinello L; Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, 200433, Shanghai, China.
Nat Commun ; 10(1): 1903, 2019 04 23.
Article en En | MEDLINE | ID: mdl-31015418
Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. We have tested STREAM on several synthetic and real datasets generated with different single-cell technologies. We further demonstrate its utility for understanding myoblast differentiation and disentangling known heterogeneity in hematopoiesis for different organisms. STREAM is an open-source software package.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Células Madre Hematopoyéticas / Linaje de la Célula / Genómica / Análisis de la Célula Individual / Transcriptoma Límite: Animals Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Células Madre Hematopoyéticas / Linaje de la Célula / Genómica / Análisis de la Célula Individual / Transcriptoma Límite: Animals Idioma: En Año: 2019 Tipo del documento: Article